Research on evaluation of safety literacy based on social network analysis

Xiang-chun, LI; Qin, Li; Long, Yuzhen; Li, Zhongbei; Liu, Rong; Zhu, Yunlong

doi:10.1002/prs.12059

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…In order to facilitate the subsequent analysis of the relationship between agents, the agents are further divided into three categories: State Grid Corporation of China, residents, and third-party departments. The breakdown of various agents, their corresponding market positioning, and interest appeals are shown in Table 1: (2) To describe the smart electricity network, it is also necessary to clarify the relationship between various stakeholders (Li et al, 2013). The relationship between the agents can be determined according to the theoretical analysis of the value chain and combined with the application of smart electricity service.…”

Section: Agent and Relationshipmentioning

confidence: 99%

Smart power consumption in energy digital economy: A perspective of the value co-creation mechanism

Zhang

Liu²,

Chen³

et al. 2023

Front. Energy Res.

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Residential load is one of the important components of the seasonal peak load of the power grid, and it is increasing each year, with a huge demand response potential. With the development of the energy digital economy, the demand response of the new power system shows the characteristics of multi-stakeholder participation. The development mode based on the value co-creation has become a prominent support for market-oriented reform, and the need for the promotion of smart electricity use is increasingly prominent. In order to realize the in-depth exploration of residents’ demand response potential and the sustainable development of “value co-creation” of smart electricity consumption with the participation of multi-stakeholders, this study adopts both the social network analysis method and the counterfactual analysis approach to reveal the general characteristics of agents promoting the residents to participate in the value co-creation of smart electricity positively. The results show that 1) for social network, both the absolute resource advantage and the structural hole have obvious positive guidance on the agent; however, the incentive effect of the relative resource advantage is not significant; 2) for individual nodes , the role positioning of each agent has obvious guiding function for realizing the value co-creation; and 3) for interrelationship among main agents, the functional relationship has a significant degree of interdependence.

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Section: Agent and Relationshipmentioning

confidence: 99%

Smart power consumption in energy digital economy: A perspective of the value co-creation mechanism

Zhang

Liu²,

Chen³

et al. 2023

Front. Energy Res.

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“…Scholars have studied the influence of different mental indicators on workers' unsafe behavior. For example, Li et al (11,(23)(24)(25) found that the safety attitude of coal miners has a positive impact on safety behavior, safety attitudes of employees will significantly affect safety performance, and a good safety attitude can improve the safety performance of the entire organization. Wu et al (26) identified that there is a negative correlation between workers' work stress and safe behaviors.…”

Section: Individual Factorsmentioning

confidence: 99%

Influencing Factors, Formation Mechanism, and Pre-control Methods of Coal Miners′ Unsafe Behavior: A Systematic Literature Review

Yang

Wang

Zhu

et al. 2022

Front. Public Health

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Coal mine accidents are mainly caused by the unsafe behavior of workers. Studying workers' unsafe behaviors can help in regulating such behaviors and reducing the incidence of accidents. However, there is a dearth of systematic literature review in this area, which has hindered mine managers from fully understanding the unsafe behavior of workers. This study aims to address this research gap based on the literature retrieved from the Web of Science. First, a descriptive statistical analysis is conducted on the year, quantity, publications, and keywords of the literature. Second, the influencing factors, formation mechanism, and pre-control methods of coal miners' unsafe behavior are determined and discussed, and the research framework and future research directions of this study are proposed. The study results will help mine safety managers fully understand the influencing factors, formation mechanism, and pre-control methods of workers' unsafe behavior, and lay a theoretical foundation for the future research direction in this field.

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The Uses of Social Network Analysis in the Field of Engineering Construction Management: A Review of the Literature

Hao

2021

Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate

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Research on evaluation of safety literacy based on social network analysis

Cited by 4 publications

References 14 publications

Smart power consumption in energy digital economy: A perspective of the value co-creation mechanism

Smart power consumption in energy digital economy: A perspective of the value co-creation mechanism

Influencing Factors, Formation Mechanism, and Pre-control Methods of Coal Miners′ Unsafe Behavior: A Systematic Literature Review

The Uses of Social Network Analysis in the Field of Engineering Construction Management: A Review of the Literature

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